| Learning individually inferred communication for multi-agent cooperation Z Ding, T Huang, Z Lu NIPS 2020 (oral), 2020 | 142 | 2020 |
| Spatio-temporal recurrent networks for event-based optical flow estimation Z Ding, R Zhao, J Zhang, T Gao, R Xiong, Z Yu, T Huang AAAI 2022, 2022 | 62 | 2022 |
| Optical flow estimation for spiking camera L Hu, R Zhao, Z Ding, L Ma, B Shi, R Xiong, T Huang CVPR 2022, 2022 | 57 | 2022 |
| Towards general computer control: A multimodal agent for red dead redemption ii as a case study W Tan, Z Ding, W Zhang, B Li, B Zhou, J Yue, H Xia, J Jiang, L Zheng, ... ICLR 2024 Workshop LLMAgents, 2024 | 56* | 2024 |
| A survey on game playing agents and large models: Methods, applications, and challenges X Xu, Y Wang, C Xu, Z Ding, J Jiang, Z Ding, BF Karlsson arXiv preprint arXiv:2403.10249, 2024 | 17 | 2024 |
| Reinforcement learning friendly vision-language model for minecraft H Jiang, J Yue, H Luo, Z Ding, Z Lu ECCV 2024, 2024 | 17 | 2024 |
| MRDFlow: Unsupervised optical flow estimation network with multi-scale recurrent decoder R Zhao, R Xiong, Z Ding, X Fan, J Zhang, T Huang IEEE TCSVT 2021, 2021 | 12 | 2021 |
| Entity divider with language grounding in multi-agent reinforcement learning Z Ding, W Zhang, J Yue, X Wang, T Huang, Z Lu ICML 2023, 2023 | 8 | 2023 |
| Unsupervised optical flow estimation with dynamic timing representation for spike camera L Xia, Z Ding, R Zhao, J Zhang, L Ma, Z Yu, T Huang, R Xiong NIPS 2023, 2023 | 7 | 2023 |
| Modeling the detection capability of high-speed spiking cameras J Zhao, Z Yu, L Ma, Z Ding, S Zhang, Y Tian, T Huang ICASSP 2022, 2022 | 6 | 2022 |
| Multi-Agent Coordination via Multi-Level Communication Z Ding, Z Liu, Z Fang, K Su, L Zhu, Z Lu NIPS 2024, 2024 | 5* | 2024 |
| Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing H Jiang, Z Ding, Z Lu AAAI 2024, 2024 | 4 | 2024 |
| Egocentric vision language planning Z Fang, M Yang, W Zeng, B Li, J Yue, Z Ding, X Li, Z Lu arXiv preprint arXiv:2408.05802, 2024 | 2 | 2024 |
| Hyperspectral unmixing based on weighted abundance vector regularization C Deng, Y Li, Z Ding, J Wang, Z Wu, S Wang ICALIP 2016, 2016 | 1 | 2016 |
| SELU: Self-Learning Embodied MLLMs in Unknown Environments B Li, H Jiang, Z Ding, X Xu, H Li, D Zhao, Z Lu CVPR 2025, 2025 | | 2025 |
| Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams L Hu, Z Ding, M Liu, L Ma, T Huang ECCV 2024, 2024 | | 2024 |
| What Preserves the Emergence of Language? Z Ding, T Huang, Z Lu | | 2021 |
Tiejun HuangProfessor,School of EE&CS, Peking UniversityPatvirtintas el. paštas pku.edu.cn